Triple
T9207818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bojnord |
E221030
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Bojnord Airport
Bojnord Airport is a regional public airport serving the city of Bojnord and the surrounding area in northeastern Iran.
|
E785968
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bojnord Airport | Statement: [Bojnord, hasAirport, Bojnord Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bojnord Airport Context triple: [Bojnord, hasAirport, Bojnord Airport]
-
A.
Hokksund Airport
Hokksund Airport is a small general aviation airfield serving the town of Hokksund in Norway.
-
B.
Spilve Airport
Spilve Airport is a historic former main airport of Riga, Latvia, which served as the city’s primary airfield before operations moved to Riga International Airport.
-
C.
Akure Airport
Akure Airport is a domestic airport serving the city of Akure and the surrounding Ondo State region in southwestern Nigeria.
-
D.
Bodø Airport
Bodø Airport is a regional airport in Bodø, Norway, serving as an important hub for civilian flights and military aviation in the Nordland region.
-
E.
Hammerfest Airport
Hammerfest Airport is a regional airport in Hammerfest, Norway, providing scheduled domestic flights that connect the town to other parts of the country.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bojnord Airport Triple: [Bojnord, hasAirport, Bojnord Airport]
Generated description
Bojnord Airport is a regional public airport serving the city of Bojnord and the surrounding area in northeastern Iran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bojnord Airport Target entity description: Bojnord Airport is a regional public airport serving the city of Bojnord and the surrounding area in northeastern Iran.
-
A.
Hokksund Airport
Hokksund Airport is a small general aviation airfield serving the town of Hokksund in Norway.
-
B.
Spilve Airport
Spilve Airport is a historic former main airport of Riga, Latvia, which served as the city’s primary airfield before operations moved to Riga International Airport.
-
C.
Akure Airport
Akure Airport is a domestic airport serving the city of Akure and the surrounding Ondo State region in southwestern Nigeria.
-
D.
Bodø Airport
Bodø Airport is a regional airport in Bodø, Norway, serving as an important hub for civilian flights and military aviation in the Nordland region.
-
E.
Hammerfest Airport
Hammerfest Airport is a regional airport in Hammerfest, Norway, providing scheduled domestic flights that connect the town to other parts of the country.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b217008190a0ab4971dd4a8899 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065e49fcc81909ddb838a8ad28c57 |
completed | April 4, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69d0676ea53c81908b16dfce6810f6b0 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0684c1a108190bc7fdfdced16e24c |
completed | April 4, 2026, 1:24 a.m. |
Created at: March 30, 2026, 7:26 p.m.